Research Article
Automated Brain Tissue Classification by Multisignal Wavelet Decomposition and Independent Component Analysis
Table 1
Quantitative analysis of synthetic images.
| ā | Feature analysis | Sensitivity | FPR | Specificity | Accuracy | TI |
| CSF | ICA
| 84.18 | 0.76
| 99.24
| 97.18
| 0.75 | MW-ICA | 88.19
| 0.39
| 99.61
| 98.49 | 0.78
| WM | ICA
| 99.53
| 1.99
| 98.01
| 98.31
| 0.90
| MW-ICA | 99.60 | 2.08
| 96.92
| 97.44 | 0.93 | WML | ICA
| 85.88 | 0.07 | 99.91 | 99.61 | 0.82 | MW-ICA | 93.23
| 0.09
| 99.91
| 99.80
| 0.93
| GM | ICA | 95.28 | 5.13 | 94.87 | 94.92 | 0.82 | MW-ICA | 98.90 | 2.98 | 97.03 | 96.94 | 0.88 |
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